pyvoxel
importedsoftware/pyvoxel
Fast Pythonic data structures and tools for wrangling medical images.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- pyvoxel
- Country
- unknown
- Homepage
- voxel.im
- Repository
- github.com/pyvoxel/pyvoxel
- Documentation
- unknown
- Tags
- deep-learning · dicom · dicom-viewer · machine-learning · medical-imaging · nifti
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Dicom-Viewerdicom · dicom-viewer · medical-imaging
An application displaying 2D/3D Dicom
- dwvdicom · dicom-viewer · medical-imaging
DICOM Web Viewer: open source zero footprint medical image library.
- ImageViewerdicom · dicom-viewer · medical-imaging
Dicom Image Viewer.A simple imgview control that can be used as a tool when exporting Dicom images,full Implemented by C#.
- invesalius3dicom · dicom-viewer · medical-imaging
3D medical imaging reconstruction software
- MedImagerdicom · dicom-viewer · medical-imaging
A modern, cross-platform open-source DICOM viewer and medical image analysis tool, supporting smooth interaction, multi-format images, and advanced research features.
- open-dicom-viewerdicom · dicom-viewer · medical-imaging
A native macOS DICOM medical image viewer built with SwiftUI. Multi-panel layouts, MPR reconstruction, and GPU-accelerated volume rendering.
- api.github.com/repos/pyvoxel/pyvoxelretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-07-21, 28 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/26.json→ .entries["pyvoxel"]
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